Paper Details

Paper Title

Selection of 51 predictors from 13,782 candidate multimodal features using machine learning improves coronary artery disease prediction.

Paper Journal Title

Patterns (N Y)

Paper Citation Count

Paper Publication Year

2021

Bio Mention

CAD, ML4H, coronary artery disease, participants, polygenic, predictors

Mesh Descriptor

Author Name	Affiliation
Connor A Emdin	Broad Institute of MIT and Harvard
Connor A Emdin	Harvard Medical School
Connor A Emdin	Center for Genomic Medicine, Massachusetts General Hospital
Patrick T Ellinor	Broad Institute of MIT and Harvard
Patrick T Ellinor	Harvard Medical School
Patrick T Ellinor	Center for Genomic Medicine, Massachusetts General Hospital
Patrick T Ellinor	Broad Institute of MIT and Harvard
Patrick T Ellinor	Center for Genomic Medicine, Massachusetts General Hospital
Patrick T Ellinor	Harvard Medical School
Anthony A Philippakis	Broad Institute of MIT and Harvard
Anthony A Philippakis	Broad Institute of MIT and Harvard
Kenney Ng	Center for Computational Health
Amit Khera	Broad Institute of MIT and Harvard
Amit Khera	Center for Genomic Medicine, Massachusetts General Hospital
Amit Khera	Harvard Medical School

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